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中文题名:

 复杂水域船舶通航环境风险评价方法研究    

姓名:

 李胜    

学号:

 1049721201639    

保密级别:

 公开    

论文语种:

 chi    

学科代码:

 082303    

学科名称:

 交通运输规划与管理    

学生类型:

 硕士    

学位:

 工学硕士    

学校:

 武汉理工大学    

院系:

 交通学院    

专业:

 交通运输规划与管理    

研究方向:

 交通运输系统优化与决策    

第一导师姓名:

 刘清    

第一导师院系:

 武汉理工大学    

完成日期:

 2014-12-13    

答辩日期:

 2014-12-18    

中文关键词:

 复杂水域 ; 船舶通航环境 ; 不确定性 ; 风险评价 ; 三角模糊数    

中文摘要:

随着水路运输的发展,船舶通航环境发生了显著的变化,船舶复杂水域的航行安全问题益发突出,复杂水域已成为水上安全事故的多发区域。为减少复杂水域内航运事故的次数,维护水上运输的安全,除了规范管理规章制度、提高船舶驾驶员的职业素养和提升船舶性能外,船舶必须适应外部通航环境,增强抵御风险的能力,才能保障在复杂航行环境条件下的航行安全。复杂水域船舶通航环境的风险影响因素多而繁杂,包括水文、气象、航道条件、船舶状况等多个方面,而且这些影响因素存在很大的不确定性和模糊性;另一方面,各影响变量随时间和空间的变异而发生演变,必然导致船舶通航环境发生各种不确定性变化,船舶通航环境各因子的行为和能量输入、输出也具有一定的不确定性和模糊性。这些问题在很大程度上阻碍了研究的发展。本文的目的是通过系统安全工程学、不确定理论、风险管理理论和风险评价等定性与定量相结合的方法研究复杂水域通航环境,注重质性分析和隐式测评,对复杂水域进行分类,针对不同复杂水域选取风险评价指标,根据不同复杂水域的特点建立复杂水域船舶通航环境风险评价的方法体系,通过实例论证证明其可行性,利用三角模糊数法对三峡库区通航环境进行风险评价,实现复杂数据条件下影响因子的相互作用和影响程度的定量描述。研究结果有助于推动水上安全预警系统的建立。

参考文献:

[1] 刘清,郭君,严新平 .基于突变理论的长江航运安全事故成因分析[J].水运管理,2008.4(1):21-24.

[2] 蒋丽,李永娟,马峻峰.不安全驾驶行为及其影响因素[J]. 人类工效学, 2011,17(2) :4-7.

[3] 刘正江,吴兆麟.基于船舶碰撞事故调查报告的人的因素数据挖掘.中国航海,2004,08(2):1-6.

[4] 徐造林,陈一梅.基于GIS的闽江航道模拟与预测系统实现[J].计算机工程,2003,07:11-15.

[5] 徐小丽.视觉特征对船舶驾驶行为的影响研究[D] .武汉:武汉理工大学,2013.

[6] 张大恒.港口通航环境安全综合评价系统及其实现[D].大连:大连海事大学,2007.

[7] 陈宏.福州港闽江通海航道航行环境安全评价.中国航海[J]. 2008:03:17-24.

[8] Beschnidt J, Gilles E D. “Virtual Waterway" - A traffic simulation environment for inland and coastal waterways[M]. Advances in Architecture Series, 2005, 19:17-20

[9] Stoschek Oliver,Zimmermann Claus. Water exchange and sedimentation in an estuarine tidal harbor using three-dimensional simulation .Journal of Waterway, Port, Coastal and Ocean Engineering, 2006,10

[10] Choi Junwoo,Lim Chae-Ho, Jeon Young-Joon,Yoon, Sung Bum.Numerical simulation of irregular wave transformation due to wave-induced current. Journal of Hydro-Environment Research, 2007, 12

[11] Dietsche Daniel, Hagen Scott C, Bacopoulos Peter. Storm surge simulations for Hurricane Hugo (1989): On the significance of inundation areas. Journal of Waterway, Port, Coastal and Ocean Engineering, 2007, 05

[12] Judson B..A Tanker Navigation Safety System[J].The Journal of Navigation.2005(1):97-108;

[13] 徐周华,牟军敏,季永清. 内河水域船舶领域三维模型的研究。武汉理工大学学报,2004,03

[14] 高飞,童恒庆. 基于改进粒子群优化算法的混沌系统参数估计方法,物理学报,2006,02

[15] Satty T L. The analytic hierarchy process [M].New York: McGraw Hill. 1980.

[16] Tsai. Contributions to the Designing and Analysis of nonlinear models[M]. Ph.D.Thesis. Univ. of Minnesota;

[17] J Gray, A Bosworth, A Layman et al. Datacube: A relationan aggregation operator generalizing grouphy, cross-lab, and sub-total.In: Proc of the 12th Int' l Conf on Data Engineering. New Orleans: IEEE Computer Society Press, 1996,152-159.

[18] S Agarwal, R Agrawal, P Deshpande et al. On the computation of multidimensional aggregates. In: Proc: of the 22nd Int' l Conf on Very Large Data Bases.Mumhai, India:Morgan Kaufmann,1996, 506-521.

[19] Y Zhao, P Deshpande, J F Naughton. An array-Based algorithm for simultaneous multidimensional aggregates. In: Proc of ACM SIGMOD Int' l Conf on Management of Data. Tucson, Arizona: ACM Press, 1997,159- 170.

[20] K A Ross, D Srivastava. Fast computation of sparse data cubes. In: Proc of the 23rd Int'l Conf on Verv Large Data Bases. A-thens, Greece:Morgan Kaufmann, 1997, 116-185

[21] V Harinarayan, A Rajaraman, J D Ulman. Implementing data cubes efficiently. In: Proc of the ACM SIGMOD Int'l Conf on Management of Data. Le Centre Sheraton, Montreal: ACM Press,1996,205-227.

[22] A Shukla, P M Deshpande, J F Naughton. Materialized view se-lecaion for multidimensional Datasets. In: Proc of the 24th Int' l Conf on Very Large Data Bases. New York City:Morgan Kaufmann, 1998, 488-499

[23] B.Husemann, J.Lechtenborger, G.Vossen. Conceptual Data Warehouse design. In: M.A. Jeusfeld, H.Shu, M.Staudt, et al, eds. Proceedings of the Second Intl. Workshop on Design and Management of Data Warehouses. Stockholm, Sweden: Technical University of Aachen, 2000. 201-211.

[24] Y Chen, Gdong, J.Han. Multidimensional Regression Analysis of Time-Series Data Streams. In: Proceedings of the 28th VLDB Conference'02, Hong Kong, China, 2002. 323-334.

[25] 王加阳,李超良,李睿. 线性回归法在时序数据聚集中的应用.企业技术开发,2003(7), 7-9.

[26] 梁新荣, 刘智勇, 孙德山, 毛宗源. 基于支持向量机的高速公路事件检测[J]. 计算机工程与应用 , 2006,(14)

[27] 赵秀娟, 刘智勇, 樊可清. 基于支持向量机的车辆自动分类方法[J]. 公路交通科技 , 2003,(05)

[28] 刘清,严新平. 创建长江航道预警应急指挥系统框架. 船海工程. 2007.8第4期第36卷P94-96;

[29] 孙尚供. 隐变量分析简介(一)——(六)[J].数理统计与管理. 2002.1——6期;

[30] Wright.S. . The method of path coefficients[J]. Annals of Mathematical Studies. 1934,5, 161-215;

[31] McArdle.B.H. . The structural relationship: Regression in biology[J]. Canadian Journal of Zoology. 1988, 66,2329-2339;

[32] Chung Jin-Hyuk,Kim,Seongho,Lee,Young-Kyun. Multilevel structural equation model for activity participation and travel behavior : Data from the Puget Sound Transportation Panel[J]. Transportation Research Record. 2007:24-37

[33] Kim Hyung,Jin,Kim. Weekend activity and travel behavior in a developing country: Empirical study using multilevel structural equation models[J]. Road and Transport Research.2004:99-108;

[34] Ejes Claudine,Marquez,Leorey. Structural equation approach to understanding weekend travel behavior in Metro Manila [J]. Road and Transport Research.2002.12:24-37;

[35] Wang Dong-gen,Law Yuk-Ting. Impacts of Information and Communication Technologies (ICT) on time use and travel behavior: A structural equations analysis [J]. Transportation.2007.7:213-527

[36] Yamane Kohachi,Fujiwara Akimasa,Zhang Junyi. Choice of travel patterns: Cause-effect analysis [J]. Proceedings of the Conference on Traffic and Transportation Studies. ICTTS.2006.8:207-216

[37] Alan Olinsky,Shaw Chen, Lisa Harlow. The comparative efficacy of imputation methods for missing data in structural equation modeling [J]. European Journal of Operational Research. 2003:151,73-79;

[38] Wold H. . Introduction to the Second Generation of Multivariate Analysis [M]. Theoretical Empiricism[M]. New York: Paragon House, 1989:vii-xl;

[39] Joreskog K.G.. A general approach to confirmatory maximum likelihood factor analysis[M]. Psychometrika. 1989.34:183-202;

[40] Chin.W.W. . PLS is to LISREL as Principal Components Analysis is to Common Factor Analysis[J]. Technology Studies, Volume 2. 1995:315-319;

[41] Wold.H. Estimation of principal components and related models by iterative least squares. Multivariate Analysis[M]. Edited by P.R.Krishnaiah. Academic press: New York. 1996;

[42] Joreskog K.,Wold.H.. The ML and PLS Techniques for Modeling with Latent Variables: Historical and Comparative Aspects[M]. in H.Word and K.Joreskog(Eds), Systems Under Indirect Observation: Causality, Structure,Prediction(vol.1), Amsterdam[M].1992. North-Holland:263-270;

[43] Jerome Pages,Michel Tenenhaus. Multiple factor analysis combined with PLS path modelling application to the analysis of relationships between physicochemical variables, sensory profiles and hedonic judgements[J]. Chemonetrics and Intelligent Laboratory Systems. 2001:58, 261-273;

[44] A.Phatak, P.M.Reilly, A.Penlidis. The asymptotic variance of the univariate PLS estimator[J]. Linear Algebra and its Applications. 2002:354, 245-253;

[45] Svant Wold, Johan Trygg, Anders Berglind. Some recent develonments in PLS modeling[J]. Chemometrics and Intelligent Laboratory Systems. 2001:58, 131-150.

[46] 许健华,戎蒙恬,刘洋,无线移动网络中一种呼叫接入控制方案,上海交通大学学报,2004, Vol.38, No.2,181-184,188.

[47] Wilson M, Chattington M, Marple-Horvat D E. Eye Movements Drive Steering: Reduced Eye Movement Distribution Impairs Steering and Driving Performance [J].Journal of Motor Behavior,2008,40(3): 190-202.

[48] Saito H, IshiwakaT, SakataM, et al. Applications of driver’s line of sight to automobiles-what can driver’s eye tell[C].Proceedings of 1994 Vehicle navigation and information systems conference. Yokoha-ma, Japan, 1994: 21-26.

[50] 李品芳,王有权,郑琳娜. 不同阶段船员的心理特征及调适[J]. 航海教育研究, 2009,(04) .

[51] 沈德富,范健.论五种FUZZY综合评价模型与环境质量评价[J].环境科学动态,2008(4):11-15.

[52] 金玉国. 从回归分析到结构方程模型:线性因果关系的建模方法论[J].山东经济,2008,2:19-24

[53] 别牧, 李淑庆. 疲劳驾驶及预防对策研究[J]. 重庆交通大学学报(社会科学版), 2010,(06)

[54] Ueno H, Kaneda M, TsukinoM. Development of drowsiness detection system [C]. Proceedings of 1994 Vehicle navigation and information systems conference. Yokohama, Japan, 1994:15-20.

[55] Dinges David F. Ph.D., Grace Riehard Ph.D.PERCLOS: A Valid Psycho Physiological Measure of Alertness Assessed by Psychomotor Vigilance. Federal Highway Administration, Office of Motor Carriers, 1998:16-19.

[56] Graee.R., Benjamin A.L. Application of a Heavy Vehicle Drowsy Driver Detection System[A].In: Proceedings of the SAE International Truck & Bus Meeting and Exposition [C], November15-7, 1999:36-45.

[57] S.Boverie, J.M. Leqellec, and A.Hirl. Intelligent systems for video monitoring of vehicle cockpit [A]. In: Proc. Int. Congr. And ExPo. ITS- Advanced Control and vehicle Navigation Systems,Detroit[C], Ml, Feb, 1998:1-5.

中图分类号:

 U698    

馆藏号:

 U698/1639/2014    

备注:

 403-西院分馆博硕论文库;203-余家头分馆博硕论文库    

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